从具有 (x,y) 特定值的 txt 文件中读取 z 值

Question

i have txt file with x,y,z coordinates as follows:

x           y         z        another value
129.000000 -51.000000 3.192000 166 166 166
133.000000 -21.000000 6.982500 171 169 170
134.000000 -51.000000 8.379000 172 170 171
135.000000 -45.000000 8.379000 167 165 166
136.000000 -81.000000 8.578500 160 158 159
137.000000 -51.000000 9.376500 159 157 158
138.000000 -51.000000 9.576000 169 168 167

how to read the value of z when x=20,y=33? I tried using data = numpy.genfromtxt(yourFileName) but it not worked for me

Answer 1

import pandas as pd

from io import StringIO

x = '''x           y         z    v1 v2 v3
129.000000 -51.000000 3.192000 166 166 166
133.000000 -21.000000 6.982500 171 169 170
134.000000 -51.000000 8.379000 172 170 171
135.000000 -45.000000 8.379000 167 165 166
136.000000 -81.000000 8.578500 160 158 159
137.000000 -51.000000 9.376500 159 157 158
138.000000 -51.000000 9.576000 169 168 167'''

out = StringIO(x ) 

df = pd.read_csv( out , delimiter="\s+"  )

print (df.query( "x==138 and y==-51"  ).z.values )